The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-07-07"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "11829602 (up from 11620096 yesterday: 1.8 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "544163 (up from 538058 yesterday: 1.13 % increase)"

Overall Confirmed Cases Count Worldwide in the past 21 Days 

## [1] 3655662

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 4.6



In- Depth Country Wise Stats (With Atleast 10000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 2996098 60021 2.04 858367 131480 1195 0.92 4.39
Brazil 1668589 45305 2.79 745400 66741 1254 1.91 4.00
India 742417 22753 3.16 388352 20642 483 2.40 2.78
Russia 693215 6363 0.93 148490 10478 198 1.93 1.51
Peru 309278 3575 1.17 72122 10952 180 1.67 3.54
Chile 301019 2462 0.82 116570 6434 50 0.78 2.14
United Kingdom 287874 584 0.20 -11726 44476 155 0.35 15.45
Mexico 268008 6258 2.39 113145 32014 895 2.88 11.95
Spain 252130 341 0.14 7802 28392 4 0.01 11.26
Iran 245688 2637 1.08 53249 11931 200 1.70 4.86
Italy 241956 137 0.06 4456 34899 30 0.09 14.42
Pakistan 237489 2980 1.27 82729 4922 83 1.72 2.07
Saudi Arabia 217108 3392 1.59 80793 2017 49 2.49 0.93
South Africa 215855 10134 4.93 139521 3502 192 5.80 1.62
Turkey 207897 1053 0.51 26599 5260 19 0.36 2.53
France 206072 475 0.23 11725 29936 13 0.04 14.53
Germany 198343 279 0.14 10091 9032 10 0.11 4.55
Bangladesh 168645 3027 1.83 74164 2151 55 2.62 1.28
Colombia 120281 2869 2.44 67070 4452 147 3.41 3.70
Canada 108023 208 0.19 6936 8765 17 0.19 8.11
Qatar 100945 600 0.60 18868 134 1 0.75 0.13
China 84917 28 0.03 495 4641 0 0.00 5.47
Argentina 83426 2979 3.70 49267 1644 62 3.92 1.97
Egypt 77279 1057 1.39 29423 3489 67 1.96 4.51
Sweden 73344 283 0.39 20021 5447 14 0.26 7.43
Indonesia 66226 1268 1.95 25826 3309 68 2.10 5.00
Iraq 64701 2426 3.90 42001 2685 118 4.60 4.15
Belarus 64003 199 0.31 8634 436 7 1.63 0.68
Ecuador 63245 865 1.39 15302 4873 52 1.08 7.70
Belgium 62058 0 0.00 1903 9774 0 0.00 15.75
United Arab Emirates 52600 532 1.02 9618 326 2 0.62 0.62
Kuwait 51245 601 1.19 14287 377 4 1.07 0.74
Kazakhstan 51059 1376 2.77 35517 264 0 0.00 0.52
Netherlands 50907 37 0.07 1612 6151 4 0.07 12.08
Ukraine 50622 569 1.14 17413 1299 21 1.64 2.57
Oman 48997 1262 2.64 23728 224 6 2.75 0.46
Philippines 47873 1540 3.32 21092 1309 6 0.46 2.73
Singapore 45140 157 0.35 4171 26 0 0.00 0.06
Portugal 44416 287 0.65 7080 1629 9 0.56 3.67
Bolivia 41545 1036 2.56 21662 1530 54 3.66 3.68
Panama 40291 957 2.43 18329 799 29 3.77 1.98
Dominican Republic 38430 302 0.79 14744 821 17 2.11 2.14
Poland 36412 257 0.71 6217 1528 7 0.46 4.20
Afghanistan 33384 194 0.58 7074 920 22 2.45 2.76
Switzerland 32369 54 0.17 1215 1966 1 0.05 6.07
Israel 32222 1473 4.79 12727 342 8 2.40 1.06
Bahrain 30321 500 1.68 10768 98 0 0.00 0.32
Nigeria 29789 503 1.72 12641 669 15 2.29 2.25
Romania 29620 397 1.36 7205 1799 31 1.75 6.07
Armenia 29285 349 1.21 11796 503 12 2.44 1.72
Ireland 25538 7 0.03 204 1742 1 0.06 6.82
Honduras 25428 763 3.09 15772 677 21 3.20 2.66
Guatemala 24787 815 3.40 14081 1004 23 2.34 4.05
Ghana 21968 891 4.23 9775 129 0 0.00 0.59
Azerbaijan 21374 537 2.58 10712 265 7 2.71 1.24
Japan 20055 207 1.04 2571 981 3 0.31 4.89
Austria 18421 56 0.30 1232 706 0 0.00 3.83
Moldova 18141 235 1.31 5887 603 11 1.86 3.32
Algeria 16879 475 2.90 5732 968 9 0.94 5.73
Serbia 16719 299 1.82 4293 330 13 4.10 1.97
Nepal 16168 204 1.28 9577 35 0 0.00 0.22
Cameroon 14916 2324 18.46 5052 359 46 14.70 2.41
Morocco 14607 228 1.59 5676 240 3 1.27 1.64
Korea, South 13244 63 0.48 1046 285 0 0.00 2.15
Denmark 13089 10 0.08 639 609 2 0.33 4.65
Czechia 12685 119 0.95 2574 351 1 0.29 2.77
Cote d’Ivoire 11194 228 2.08 5515 76 1 1.33 0.68
Uzbekistan 10838 476 4.59 5345 41 4 10.81 0.38

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease TotalConfirmedinPast21Days Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 398237 588 0.15 13662 32243 24 0.07 8.10 20471.16 1657.43 1 in 49
California 284012 12977 4.79 125051 6573 132 2.05 2.31 7187.95 166.35 1 in 139
Texas 216026 10384 5.05 122457 2778 101 3.77 1.29 7450.23 95.81 1 in 134
Florida 213794 7347 3.56 133685 3841 63 1.67 1.80 9954.21 178.84 1 in 100
New Jersey 173878 267 0.15 6452 15281 52 0.34 8.79 19576.03 1720.41 1 in 51
Illinois 149574 1709 1.16 15935 7273 247 3.52 4.86 11803.67 573.95 1 in 85
Massachusetts 110338 201 0.18 4453 8213 15 0.18 7.44 15877.11 1181.81 1 in 63
Arizona 105094 3639 3.59 65909 1927 98 5.36 1.83 13801.11 253.06 1 in 72
Georgia 100470 3406 3.51 41392 2899 21 0.73 2.89 9462.75 273.04 1 in 106
Pennsylvania 95898 798 0.84 11920 6787 33 0.49 7.08 7490.87 530.15 1 in 133
North Carolina 76290 1515 2.03 30383 1446 14 0.98 1.90 7273.97 137.87 1 in 137
Michigan 73900 633 0.86 7631 6251 30 0.48 8.46 7399.73 625.92 1 in 135
Maryland 70396 492 0.70 7987 3266 20 0.62 4.64 11644.02 540.22 1 in 86
Louisiana 68263 1936 2.92 20557 3319 23 0.70 4.86 14684.02 713.95 1 in 68
Virginia 66740 638 0.97 11409 1881 28 1.51 2.82 7819.09 220.37 1 in 128
Ohio 58904 948 1.64 16894 2970 43 1.47 5.04 5039.22 254.08 1 in 198
Tennessee 53514 1475 2.83 21763 665 13 1.99 1.24 7831.50 97.32 1 in 128
Indiana 48626 102 0.21 7840 2717 19 0.70 5.59 7222.88 403.58 1 in 138
South Carolina 47352 972 2.10 27362 846 19 2.30 1.79 9196.86 164.31 1 in 109
Connecticut 47033 57 0.12 1684 4338 0 0.00 9.22 13191.93 1216.73 1 in 76
Alabama 45785 907 2.02 18873 1033 26 2.58 2.26 9337.81 210.68 1 in 107
Minnesota 39133 564 1.46 8251 1514 3 0.20 3.87 6938.93 268.46 1 in 144
Washington 37420 435 1.18 10889 1384 15 1.10 3.70 4914.05 181.75 1 in 203
Colorado 34647 407 1.19 5220 1696 5 0.30 4.90 6016.42 294.51 1 in 166
Wisconsin 32556 495 1.54 9358 805 9 1.13 2.47 5591.48 138.26 1 in 179
Mississippi 32214 957 3.06 12062 1158 44 3.95 3.59 10824.05 389.09 1 in 92
Iowa 32153 395 1.24 7974 732 9 1.24 2.28 10190.90 232.01 1 in 98
Utah 26033 564 2.21 11096 194 4 2.11 0.75 8120.19 60.51 1 in 123
Missouri 24918 707 2.92 8061 1067 16 1.52 4.28 4060.01 173.85 1 in 246
Arkansas 24512 259 1.07 11321 301 9 3.08 1.23 8122.41 99.74 1 in 123
Nevada 23785 876 3.82 12102 548 11 2.05 2.30 7722.01 177.91 1 in 129
Nebraska 20201 155 0.77 3163 282 -1 -0.35 1.40 10442.99 145.78 1 in 96
Kentucky 17519 367 2.14 4872 602 9 1.52 3.44 3921.28 134.75 1 in 255
Oklahoma 17220 858 5.24 8575 404 5 1.25 2.35 4351.81 102.10 1 in 230
Rhode Island 17154 163 0.96 990 969 9 0.94 5.65 16192.78 914.70 1 in 62
Kansas 16860 222 1.33 5449 289 4 1.40 1.71 5787.22 99.20 1 in 173
New Mexico 13727 220 1.63 3794 519 4 0.78 3.78 6546.55 247.52 1 in 153
Delaware 12414 121 0.98 2011 514 2 0.39 4.14 12748.47 527.85 1 in 78
Oregon 10605 210 2.02 4507 220 5 2.33 2.07 2514.38 52.16 1 in 398
District of Columbia 10569 54 0.51 751 561 0 0.00 5.31 14975.58 794.90 1 in 67
Puerto Rico 8714 129 1.50 2763 157 2 1.29 1.80 2728.50 49.16 1 in 367
Idaho 8539 487 6.05 5077 94 0 0.00 1.10 4764.89 52.45 1 in 210
South Dakota 7163 58 0.82 1197 98 1 1.03 1.37 8096.91 110.78 1 in 124
New Hampshire 5932 18 0.30 568 384 2 0.52 6.47 4362.69 282.41 1 in 229
North Dakota 3898 49 1.27 774 84 4 5.00 2.15 5115.07 110.23 1 in 196
West Virginia 3505 63 1.83 1164 95 0 0.00 2.71 1961.23 53.16 1 in 510
Maine 3440 17 0.50 621 110 1 0.92 3.20 2559.12 81.83 1 in 391
Wyoming 1709 34 2.03 620 21 1 5.00 1.23 2952.87 36.28 1 in 339
Montana 1327 78 6.24 713 23 0 0.00 1.73 1241.60 21.52 1 in 805
Vermont 1254 3 0.24 123 56 0 0.00 4.47 2009.65 89.75 1 in 498
Alaska 1180 18 1.55 505 17 1 6.25 1.44 1613.02 23.24 1 in 620
Hawaii 1071 41 3.98 335 19 0 0.00 1.77 756.42 13.42 1 in 1322

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestedinPast21Days ConfirmedinPast21Days ConfirmationRateForPast21Days TestsPerMillPopl
1 New York 4344867 398237 9.17 1293089 13662 1.06 223345.59
2 California 4896370 284012 5.80 1958615 125051 6.38 123920.39
3 Texas 2221287 216026 9.73 872845 122457 14.03 76606.98
4 Florida 2269194 213794 9.42 808885 133685 16.53 105653.31
5 New Jersey 1560133 173878 11.15 428351 6452 1.51 175647.33
6 Illinois 1810956 149574 8.26 581754 15935 2.74 142912.06
7 Massachusetts 906760 110338 12.17 183113 4453 2.43 130478.40
8 Arizona 628797 105094 16.71 274463 65909 24.01 82574.63
9 Georgia 979452 100470 10.26 344474 41392 12.02 92249.50
10 Pennsylvania 850102 95898 11.28 247010 11920 4.83 66403.90
11 North Carolina 1071290 76290 7.12 419869 30383 7.24 102143.54
12 Michigan 1176511 73900 6.28 340977 7631 2.24 117805.93
13 Maryland 594378 70396 11.84 165153 7987 4.84 98314.50
14 Louisiana 847598 68263 8.05 314881 20557 6.53 182326.43
15 Virginia 728117 66740 9.17 242679 11409 4.70 85304.36
16 Ohio 896485 58904 6.57 328352 16894 5.15 76694.10
17 Tennessee 921199 53514 5.81 282209 21763 7.71 134812.75
18 Indiana 530075 48626 9.17 166330 7840 4.71 78737.04
19 South Carolina 445291 47352 10.63 177612 27362 15.41 86485.87
20 Connecticut 530107 47033 8.87 168687 1684 1.00 148685.65
21 Alabama 461364 45785 9.92 155940 18873 12.10 94094.76
22 Minnesota 685247 39133 5.71 256102 8251 3.22 121505.62
23 Washington 629256 37420 5.95 157991 10889 6.89 82634.91
24 Colorado 360640 34647 9.61 107484 5220 4.86 62624.85
25 Wisconsin 636777 32556 5.11 199249 9358 4.70 109366.12
26 Mississippi 327335 32214 9.84 86532 12062 13.94 109986.09
27 Iowa 339298 32153 9.48 108660 7974 7.34 107540.56
28 Utah 382849 26033 6.80 107149 11096 10.36 119417.97
29 Missouri 435348 24918 5.72 150557 8061 5.35 70933.30
30 Arkansas 350655 24512 6.99 145089 11321 7.80 116194.61
31 Nevada 316546 23785 7.51 94072 12102 12.86 102769.47
32 Nebraska 193073 20201 10.46 53560 3163 5.91 99809.86
33 Kentucky 409872 17519 4.27 113839 4872 4.28 91741.72
34 Oklahoma 389018 17220 4.43 127213 8575 6.74 98312.07
35 Rhode Island 260690 17154 6.58 57072 990 1.73 246082.31
36 Kansas 202219 16860 8.34 65257 5449 8.35 69412.02
37 New Mexico 380240 13727 3.61 112319 3794 3.38 181340.49
38 Delaware 128685 12414 9.65 42611 2011 4.72 132152.14
39 Oregon 271906 10605 3.90 92368 4507 4.88 64467.27
40 District of Columbia 110377 10569 9.58 43251 751 1.74 156396.96
42 Idaho 108541 8539 7.87 42894 5077 11.84 60567.56
43 South Dakota 85365 7163 8.39 18163 1197 6.59 96494.81
44 New Hampshire 127880 5932 4.64 29007 568 1.96 94049.40
45 North Dakota 114357 3898 3.41 25706 774 3.01 150062.59
46 West Virginia 189847 3505 1.85 52776 1164 2.21 106229.09
47 Maine 110906 3440 3.10 38571 621 1.61 82506.33
48 Wyoming 37789 1709 4.52 3376 620 18.36 65293.15
49 Montana 105327 1327 1.26 41750 713 1.71 98549.00
50 Vermont 71113 1254 1.76 18223 123 0.67 113965.15
51 Alaska 131420 1180 0.90 55205 505 0.91 179647.19
52 Hawaii 85673 1071 1.25 23645 335 1.42 60509.00

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 217121 0 0.00 118558 54.60 89294 9250 0 0 4.26
Tamil Nadu 118594 0 0.00 71116 59.97 45842 1636 0 0 1.38
Delhi 102831 0 0.00 74217 72.17 25449 3165 0 0 3.08
Gujarat 37636 0 0.00 26744 71.06 8914 1978 0 0 5.26
Uttar Pradesh 29968 0 0.00 19627 65.49 9514 827 0 0 2.76
Telangana 27612 0 0.00 16287 58.99 11012 313 0 0 1.13
Karnataka 26815 0 0.00 11100 41.39 15294 417 0 0 1.56
West Bengal 23837 0 0.00 15790 66.24 7243 804 0 0 3.37
Rajasthan 21404 0 0.00 16575 77.44 4357 472 0 0 2.21
Andhra Pradesh 21197 0 0.00 9745 45.97 11200 252 0 0 1.19
Haryana 17999 0 0.00 13645 75.81 4075 279 0 0 1.55
Madhya Pradesh 15627 0 0.00 11768 75.31 3237 622 0 0 3.98
Assam 13337 0 0.00 8330 62.46 4988 16 0 0 0.12
Bihar 12525 0 0.00 9338 74.55 3089 98 0 0 0.78
Odisha 10097 0 0.00 6703 66.39 3340 54 0 0 0.53
Jammu and Kashmir 8931 0 0.00 5399 60.45 3389 143 0 0 1.60
Punjab 6749 0 0.00 4554 67.48 2020 175 0 0 2.59
Kerala 5895 0 0.00 3452 58.56 2411 28 0 0 0.47
State Unassigned 5034 0 0.00 0 0.00 5034 0 0 NaN 0.00
Chhattisgarh 3415 0 0.00 2728 79.88 673 14 0 0 0.41
Uttarakhand 3230 0 0.00 2621 81.15 538 43 0 0 1.33
Jharkhand 3018 0 0.00 2104 69.72 892 22 0 0 0.73
Goa 1903 0 0.00 1156 60.75 739 8 0 0 0.42
Tripura 1716 0 0.00 1248 72.73 454 1 0 0 0.06
Manipur 1430 0 0.00 771 53.92 659 0 0 NaN 0.00
Himachal Pradesh 1083 0 0.00 777 71.75 283 10 0 0 0.92
Puducherry 1043 0 0.00 517 49.57 512 14 0 0 1.34
Ladakh 1041 0 0.00 860 82.61 180 1 0 0 0.10
Nagaland 644 0 0.00 303 47.05 341 0 0 NaN 0.00
Chandigarh 492 0 0.00 401 81.50 84 7 0 0 1.42
Dadra and Nagar Haveli and Daman and Diu 427 12 2.89 185 43.33 238 1 1 Inf 0.23
Arunachal Pradesh 276 0 0.00 105 38.04 169 2 0 0 0.72
Mizoram 198 0 0.00 139 70.20 59 0 0 NaN 0.00
Andaman and Nicobar Islands 147 0 0.00 74 50.34 73 0 0 NaN 0.00
Sikkim 127 0 0.00 65 51.18 49 0 0 NaN 0.00
Meghalaya 94 0 0.00 43 45.74 50 1 -1 -50 1.06
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 1092340 94580 53 0.06 8.66 229 36 9074 16713 17.67
Piemonte 434835 31434 5 0.02 7.23 210 8 1173 4107 13.07
Emilia-Romagna 526212 28706 31 0.11 5.46 98 10 1060 4269 14.87
Veneto 1022657 19341 14 0.07 1.89 17 2 385 2034 10.52
Toscana 356547 10306 19 0.18 2.89 12 1 339 1116 10.83
Liguria 156101 10003 2 0.02 6.41 38 0 285 1558 15.58
Lazio 355305 8210 5 0.06 2.31 202 13 873 842 10.26
Marche 144089 6791 1 0.01 4.71 5 0 185 987 14.53
P.A. Trento 128597 4876 3 0.06 3.79 3 0 40 405 8.31
Campania 294712 4747 1 0.02 1.61 48 0 226 432 9.10
Puglia 191319 4535 0 0.00 2.37 12 0 79 546 12.04
Friuli Venezia Giulia 202753 3327 1 0.03 1.64 7 0 72 345 10.37
Abruzzo 110863 3309 0 0.00 2.98 28 0 153 464 14.02
Sicilia 224783 3096 1 0.03 1.38 12 0 140 282 9.11
P.A. Bolzano 87774 2648 1 0.04 3.02 3 0 83 292 11.03
Umbria 101557 1447 0 0.00 1.42 3 0 8 80 5.53
Sardegna 88721 1371 0 0.00 1.55 5 0 13 134 9.77
Valle d’Aosta 18869 1196 0 0.00 6.34 4 0 5 146 12.21
Calabria 100737 1184 1 0.08 1.18 4 0 27 97 8.19
Molise 23800 445 0 0.00 1.87 0 0 18 23 5.17
Basilicata 41102 404 0 0.00 0.98 0 0 4 27 6.68

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 55997 60 0.11 5590 13 0.23 9.98 6558.81 654.75 1 in 152
Ontario 37917 88 0.23 2744 1 0.04 7.24 2577.31 186.52 1 in 388
Alberta 8436 47 0.56 157 2 1.29 1.86 1911.56 35.58 1 in 523
British Columbia 2990 12 0.40 183 0 0.00 6.12 585.02 35.81 1 in 1709
Nova Scotia 1065 0 0.00 63 0 0.00 5.92 1089.56 64.45 1 in 918
Saskatchewan 806 1 0.12 15 1 7.14 1.86 682.09 12.69 1 in 1466
Manitoba 325 0 0.00 7 0 0.00 2.15 235.93 5.08 1 in 4239
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 165 0 0.00 2 0 0.00 1.21 211.54 2.56 1 in 4727
Prince Edward Island 32 0 0.00 0 0 NaN 0.00 202.33 0.00 1 in 4942
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1645 8 0.49
Hong Kong 1299 7 0.54
Henan 1276 22 1.72
Zhejiang 1269 1 0.08
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Beijing 929 9 0.97
Shandong 792 7 0.88
Shanghai 718 7 0.97
Jiangsu 654 0 0.00
Sichuan 598 3 0.50
Chongqing 582 6 1.03
Fujian 363 1 0.28
Hebei 349 6 1.72
Shaanxi 321 3 0.93
Guangxi 254 2 0.79
Inner Mongolia 244 1 0.41
Shanxi 199 0 0.00
Tianjin 199 3 1.51
Yunnan 187 2 1.07
Hainan 171 6 3.51
Gansu 167 2 1.20
Liaoning 159 2 1.26
Jilin 155 2 1.29
Guizhou 147 2 1.36
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 46 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 9156.78 401.83 1 in 109
Brazil 7972.24 318.88 1 in 125
India 554.46 15.42 1 in 1804
Russia 4797.34 72.51 1 in 208
Peru 9613.86 340.44 1 in 104
Chile 16676.95 356.45 1 in 60
United Kingdom 4332.84 669.42 1 in 231
Mexico 2074.37 247.79 1 in 482
Spain 5403.56 608.49 1 in 185
Iran 3027.21 147.01 1 in 330
Italy 4000.60 577.03 1 in 250
Pakistan 1205.53 24.98 1 in 830
Saudi Arabia 6591.01 61.23 1 in 152
South Africa 3805.62 61.74 1 in 263
Turkey 2572.66 65.09 1 in 389
France 3076.16 446.87 1 in 325
Germany 2395.74 109.10 1 in 417
Bangladesh NA NA 1 in NA
Colombia 2451.21 90.73 1 in 408
Canada 2873.72 233.17 1 in 348

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 30 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 100 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 217488 23218 10.68
Los Angeles California 120764 3582 2.97
Cook Illinois 93053 4651 5.00
Maricopa Arizona 67543 933 1.38
Miami-Dade Florida 51058 1057 2.07
Nassau New York 42088 2187 5.20
Suffolk New York 41730 1985 4.76
Harris Texas 39311 407 1.04
Westchester New York 35106 1430 4.07
Dallas Texas 28131 410 1.46
Philadelphia Pennsylvania 26901 1621 6.03
Middlesex Massachusetts 24243 1888 7.79
Wayne Michigan 23435 2741 11.70
Broward Florida 22595 418 1.85
Riverside California 21101 506 2.40
Suffolk Massachusetts 20048 1008 5.03
Bergen New Jersey 19676 2009 10.21
Clark Nevada 19654 450 2.29
Prince George’s Maryland 19182 692 3.61
Hudson New Jersey 19016 1460 7.68
Essex New Jersey 18918 2042 10.79
Orange California 18892 369 1.95
Palm Beach Florida 17638 563 3.19
San Diego California 17578 399 2.27
Passaic New Jersey 16974 1200 7.07
Middlesex New Jersey 16966 1338 7.89
Fairfield Connecticut 16837 1377 8.18
Union New Jersey 16450 1331 8.09
Essex Massachusetts 16318 1126 6.90
San Bernardino California 15932 272 1.71
Bexar Texas 15880 137 0.86
Tarrant Texas 15585 248 1.59
Hillsborough Florida 15362 163 1.06
Montgomery Maryland 15332 752 4.90
Orange Florida 14768 61 0.41
Fairfax Virginia 14191 495 3.49
Rockland New York 13668 668 4.89
Mecklenburg North Carolina 13317 155 1.16
Providence Rhode Island 13144 0 0.00
Salt Lake Utah 12994 120 0.92
Hennepin Minnesota 12597 787 6.25
Milwaukee Wisconsin 12539 398 3.17
Worcester Massachusetts 12534 943 7.52
New Haven Connecticut 12473 1078 8.64
Oakland Michigan 12320 1095 8.89
Shelby Tennessee 12176 202 1.66
Travis Texas 11926 144 1.21
Hartford Connecticut 11812 1380 11.68
Marion Indiana 11723 689 5.88
Davidson Tennessee 11599 127 1.09
King Washington 11182 626 5.60
Orange New York 10798 484 4.48
Franklin Ohio 10587 431 4.07
District of Columbia District of Columbia 10569 561 5.31
Jefferson Louisiana 10272 488 4.75
Pima Arizona 10184 302 2.97
Lake Illinois 10039 425 4.23
Gwinnett Georgia 9972 174 1.74
Duval Florida 9835 70 0.71
Ocean New Jersey 9738 982 10.08
DuPage Illinois 9392 477 5.08
Monmouth New Jersey 9346 822 8.80
Norfolk Massachusetts 9306 941 10.11
Fulton Georgia 9066 316 3.49
Pinellas Florida 9032 206 2.28
Plymouth Massachusetts 8757 669 7.64
Puerto Rico 8714 157 1.80
Montgomery Pennsylvania 8682 815 9.39
Baltimore Maryland 8381 486 5.80
Bristol Massachusetts 8348 592 7.09
Orleans Louisiana 8206 536 6.53
Cuyahoga Ohio 8048 379 4.71
Baltimore City Maryland 8000 352 4.40
Kane Illinois 7909 276 3.49
Lee Florida 7859 172 2.19
Mercer New Jersey 7756 592 7.63
Yakima Washington 7696 168 2.18
El Paso Texas 7642 139 1.82
Prince William Virginia 7638 148 1.94
Macomb Michigan 7625 923 12.10
Yuma Arizona 7599 117 1.54
Douglas Nebraska 7596 98 1.29
Erie New York 7544 639 8.47
Camden New Jersey 7536 534 7.09
Denver Colorado 7477 383 5.12
Delaware Pennsylvania 7384 661 8.95
Imperial California 7343 121 1.65
DeKalb Georgia 7158 173 2.42
St. Louis Missouri 7066 593 8.39
Will Illinois 6996 322 4.60
Alameda California 6925 140 2.02
Fresno California 6924 81 1.17
Hampden Massachusetts 6895 672 9.75
Morris New Jersey 6830 806 11.80
Out of GA Georgia 6763 49 0.72
Polk Iowa 6739 181 2.69
Wake North Carolina 6299 52 0.83
East Baton Rouge Louisiana 6231 275 4.41
Hamilton Ohio 6158 204 3.31
Cobb Georgia 6082 247 4.06

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below were the overall (not current) hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

Github Repo: CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc